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<h1 class="post-title" itemprop="name headline">Vision方案调研
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          <h1 id="Vision突出展示人像方案调研"><a href="#Vision突出展示人像方案调研" class="headerlink" title="Vision突出展示人像方案调研"></a>Vision突出展示人像方案调研</h1><h2 id="引言"><a href="#引言" class="headerlink" title="引言"></a>引言</h2><ul>
<li><p><strong>背景介绍</strong></p>
<p>当前找搭子中的图片都是进行中间等比缩放裁剪，无法突出图片重点。在人像照中用户通常更希望的是突出人物重点，以达成更好的体验效果。</p>
</li>
<li><p><strong>目标</strong></p>
<p>在帖子列表图片裁剪的时候保证人脸的居中，利用苹果提供的 Vision Framework 对图片进行人体检测，并裁剪出人体部份进行展示，突出图片中的人物重点。</p>
</li>
</ul>
<h2 id="Vision-Framework"><a href="#Vision-Framework" class="headerlink" title="Vision Framework"></a>Vision Framework</h2><h3 id="概述"><a href="#概述" class="headerlink" title="概述"></a>概述</h3><p>Vision Framework是苹果在iOS 11中首次推出用于图像分析和计算机视觉任务的框架。它为开发者提供了在应用中轻松实现各种图像处理功能，如人脸检测、文本识别、物体识别、图像分类、条码扫描等。</p>
<h2 id="应用场景"><a href="#应用场景" class="headerlink" title="应用场景"></a>应用场景</h2><h3 id="图片相似度对比"><a href="#图片相似度对比" class="headerlink" title="图片相似度对比"></a>图片相似度对比</h3><p>每张图片都有一个 FeaturePrint。它类似于词向量，数值越小，图像越相似。</p>
<img src="./images/WWDC19-222-cat.png"/>

<h3 id="矩形检测"><a href="#矩形检测" class="headerlink" title="矩形检测"></a>矩形检测</h3><img src="./images/rectangleDetection.png"/>

<h3 id="二维码-条行码检测"><a href="#二维码-条行码检测" class="headerlink" title="二维码&amp;条行码检测"></a>二维码&amp;条行码检测</h3><img src="./images/qrcode.png" />

<h3 id="对象跟踪"><a href="#对象跟踪" class="headerlink" title="对象跟踪"></a>对象跟踪</h3><img src="./images/objectTrack.png" />

<h3 id="文字识别"><a href="#文字识别" class="headerlink" title="文字识别"></a>文字识别</h3><img src="./images/textDetection.png" />

<h3 id="人脸检测"><a href="#人脸检测" class="headerlink" title="人脸检测"></a>人脸检测</h3><p>支持检测笑脸、侧脸、局部遮挡脸部、戴眼镜和帽子等场景，可以标记出人脸的矩形区域</p>
<img src="./images/faceDetection.png" />

<h3 id="人脸特征点"><a href="#人脸特征点" class="headerlink" title="人脸特征点"></a>人脸特征点</h3><p>可以标记出人脸和眼睛、眉毛、鼻子、嘴、牙齿的轮廓，以及人脸的中轴线</p>
<img src="./images/faceLandmarks.png" />

<h3 id="物体识别"><a href="#物体识别" class="headerlink" title="物体识别"></a>物体识别</h3><h4 id="人体"><a href="#人体" class="headerlink" title="人体"></a>人体</h4><img src="./images/humanDetector.png"/>

<h4 id="猫和狗"><a href="#猫和狗" class="headerlink" title="猫和狗"></a>猫和狗</h4><img src="./images/catAndDogDetectors.png" />

<h2 id="性能对比"><a href="#性能对比" class="headerlink" title="性能对比"></a>性能对比</h2><p>Vision 与 iOS 上其他几种带人脸检测功能框架的对比：</p>
<img src="./images/performance.png" />

<h2 id="使用"><a href="#使用" class="headerlink" title="使用"></a>使用</h2><p>Vision使用中的角色有： Request，RequestHandler，results和results中的Observation数组。</p>
<p>Request类型： 有很多种，比如图中列出的 人脸识别、特征识别、文本识别、二维码识别等。</p>
<h3 id="流程图"><a href="#流程图" class="headerlink" title="流程图"></a>流程图</h3><img src="./images/vision_flow.png" />

<h3 id="结构图"><a href="#结构图" class="headerlink" title="结构图"></a>结构图</h3><img src="./images/structGraph.png" />

<h3 id="图片重要区域使用示例"><a href="#图片重要区域使用示例" class="headerlink" title="图片重要区域使用示例"></a>图片重要区域使用示例</h3><figure class="highlight plaintext"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br><span class="line">34</span><br><span class="line">35</span><br><span class="line">36</span><br><span class="line">37</span><br><span class="line">38</span><br><span class="line">39</span><br><span class="line">40</span><br><span class="line">41</span><br></pre></td><td class="code"><pre><span class="line">// 创建处理requestHandler</span><br><span class="line">VNImageRequestHandler *handler = [[VNImageRequestHandler alloc] initWithCGImage:image.CGImage options:@&#123;&#125;];</span><br><span class="line">// 创建重点区域识别请求</span><br><span class="line">VNGenerateAttentionBasedSaliencyImageRequest *request = [[VNGenerateAttentionBasedSaliencyImageRequest alloc] initWithCompletionHandler:^(VNRequest * _Nonnull request, NSError * _Nullable error) &#123;</span><br><span class="line">    // 处理识别回调</span><br><span class="line">    if (error) &#123;</span><br><span class="line">        NSLog(@&quot;Error detecting rectangles: %@&quot;, error);</span><br><span class="line">        completion(nil);</span><br><span class="line">        return;</span><br><span class="line">    &#125;</span><br><span class="line">    </span><br><span class="line">    // 进行图片位置转换与合并</span><br><span class="line">    CGRect boundingBox = CGRectZero;</span><br><span class="line">    for (VNSaliencyImageObservation *observation in request.results) &#123;</span><br><span class="line">        if (![observation isKindOfClass:[VNSaliencyImageObservation class]]) continue;</span><br><span class="line">        for (VNRectangleObservation *obs in observation.salientObjects) &#123;</span><br><span class="line">            boundingBox = CGRectUnion(boundingBox, obs.boundingBox);</span><br><span class="line">        &#125;</span><br><span class="line">    &#125;</span><br><span class="line">    </span><br><span class="line">    </span><br><span class="line">    if (CGRectEqualToRect(CGRectZero, boundingBox)) &#123;</span><br><span class="line">        completion(nil);</span><br><span class="line">        return;</span><br><span class="line">    &#125;</span><br><span class="line">    // 裁剪图片</span><br><span class="line">    CGSize imageSize = CGSizeMake(CGImageGetWidth(image.CGImage), CGImageGetHeight(image.CGImage));</span><br><span class="line">    CGRect bodyBoundingBox = VNImageRectForNormalizedRect(boundingBox, imageSize.width, imageSize.height);</span><br><span class="line">    CGImageRef croppedImageRef = CGImageCreateWithImageInRect(image.CGImage, bodyBoundingBox);</span><br><span class="line">    UIImage *faceImage = [UIImage imageWithCGImage:croppedImageRef];</span><br><span class="line">    CGImageRelease(croppedImageRef);</span><br><span class="line">    completion(faceImage);</span><br><span class="line">&#125;];</span><br><span class="line">NSError *error = nil;</span><br><span class="line">// 发送识别请求</span><br><span class="line">[handler performRequests:@[request] error:&amp;error];</span><br><span class="line">// 处理错误</span><br><span class="line">if (error) &#123;</span><br><span class="line">    NSLog(@&quot;Error performing request: %@&quot;, error);</span><br><span class="line">    completion(nil);</span><br><span class="line">&#125;</span><br></pre></td></tr></table></figure>

<h3 id="效果"><a href="#效果" class="headerlink" title="效果"></a>效果</h3><h4 id="图片重点"><a href="#图片重点" class="headerlink" title="图片重点"></a>图片重点</h4><img src="./images/image-20241217173754964.png" />

<h4 id="人脸"><a href="#人脸" class="headerlink" title="人脸"></a>人脸</h4><img src="./images/image-20241217173211850.png" />

<h4 id="人体-1"><a href="#人体-1" class="headerlink" title="人体"></a>人体</h4><img src="./images/image-20241217173506368.png" />

<h2 id="总结"><a href="#总结" class="headerlink" title="总结"></a>总结</h2><p>苹果Vision Framework提供了多种识别器，图片重点区域识别应用场景不限局限于人，如果要突出图片重点，可以采用这个识别器。</p>
<p>人体检测，可以识别出人体，满足突出人物显示需求。</p>
<p>人脸识别，识别区域为人脸，裁剪后会把脸部重点突出，效果不太好。</p>
<p>性能方面，由于需要在图片下载完成之后进行图片的实时识别和裁剪，会存在一定的性能损耗。</p>

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